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1 Year On Campus Masters Program
University of LimerickThe Master of Engineering in Computer Vision and Artificial Intelligence at the University of Limerick equips you with cutting-edge technical expertise in AI, machine learning, and computer vision — skills that are highly sought after in industries like robotics, automotive, healthcare, security, and digital technology. This one-year, full-time program is ideal for graduates with a strong mathematics and computing background who want to deepen their knowledge of intelligent systems, modern deep learning methods, and real-world AI applications.
Curriculum Structure
Autumn Semester
In your first semester, you’ll build foundational skills and understanding. The course Introduction to Data Engineering and Machine Learning covers the mathematical and coding essentials for building AI systems using Python. Artificial Intelligence introduces core AI principles and expert systems, while Machine Vision and Computer Vision Systems teach you how machines interpret, process, and apply visual data in complex environments. Artificial Intelligence and Governance guides you through ethical, societal, and business considerations that are critical for AI professionals today.
Spring Semester
In the second semester, you’ll explore advanced AI topics and research techniques. Introduction to Engineering Research Methods prepares you to design and carry out your own research or project plan. Theory and Practice of Advanced AI Ecosystems and Deep Learning at the Edge immerse you in real frameworks and architectures that power modern AI. Geometric Computer Vision and Deep Learning for Computer Vision deepen your understanding of reconstructing environments and designing neural networks for intelligent visual tasks.
Summer Semester
In the final phase, you’ll apply your knowledge in practice. You can choose either the Master of Engineering Project in Computer Vision and AI to design and implement an advanced solution, or the Digital Futures and Innovation Stream to build a professional portfolio through creative labs and project work — giving you tangible outcomes to showcase to future employers.
Focus Areas
Deep learning for visual data, advanced machine vision systems, AI governance and ethics, geometric computer vision, research methods, and applied project development.
Learning Outcomes
Graduates will master state-of-the-art computer vision and AI algorithms, apply machine learning to complex real-world problems, conduct independent research or projects, design robust AI systems, and understand ethical and governance implications of AI technologies.
Professional Alignment (Accreditation)
This program is a Level 9 Masters award on the Irish National Framework of Qualifications and is developed with strong industry relevance, preparing you for engineering and R&D roles in smart automation, AI systems design, and intelligent robotics.
Reputation (Employability and Rankings)
The University of Limerick is internationally recognized for excellence in science and engineering and maintains strong industry links that enhance graduate employability in cutting-edge tech fields. Computer vision and AI skills are among the fastest-growing in global tech job markets, with opportunities spanning autonomous vehicles, digital health, and intelligent automation.
At the University of Limerick, this Master of Engineering degree doesn’t just teach theory — it gives you hands-on experience with real tools, real problems, and real systems. From day one, you’ll work with Python and modern machine learning frameworks in practical workshops and coding labs, applying what you learn directly to AI and computer vision tasks. The programme combines interactive lectures, intensive workshops, practical labs, and a substantial final project that challenges you to design and build intelligent systems using current technologies.
You’ll also benefit from cutting-edge facilities and research environments within UL’s Department of Electronic and Computer Engineering, ensuring you learn in spaces that mirror real industry and research settings:
State-of-the-art computing and engineering laboratories where you can run experiments, prototype systems, use networked computing resources, and explore data communications and electronics in practical settings, including robotics and sensor systems.
Access to specialist equipment and labs, including hardware test and instrumentation spaces, digital and analogue electronics workspaces, and tools that bridge software models and physical computing systems.
Projects supervised by faculty actively involved in the Data-Driven Computer Engineering Research Centre, allowing you to engage with machine learning, evolutionary algorithms, and computer vision in real-world research and industry contexts.
A significant master’s project or Digital Futures innovation stream, where you undertake an extended design or research challenge, resulting in a strong portfolio piece or prototype to showcase to future employers.
Collaborative group work and coding challenges embedded in modules like Machine Vision and Deep Learning for Computer Vision, helping you develop teamwork and problem-solving skills.
Library and digital resources through the UL Glucksman Library, giving you access to the latest journals, books, and online research tools to support independent study and project work.
Experiential learning here means you’re not just learning about AI and vision systems — you’re building them, testing them, and preparing for the kind of work you’ll do in cutting-edge tech roles after graduation.
Graduates from the Master of Engineering in Computer Vision and Artificial Intelligence at the University of Limerick go on to exciting careers where they apply advanced skills in artificial intelligence, machine learning, and visual computing. Many take on roles such as Computer Vision or Machine Learning Engineer, Data Scientist, AI Product Manager, or Researcher in industry and academia, building intelligent systems across sectors like robotics, automotive systems, healthcare analytics, and smart manufacturing. When it comes to turning your degree into a career, you’re supported every step of the way:
Career support services: The University’s Career Services team helps you prepare for your job search with personalized advice, career planning workshops, on-campus career fairs, employer presentations, CV clinics, and mock interviews. These services continue to support graduates even after finishing their studies, keeping you connected to new opportunities.
Strong employment rates: University of Limerick graduates consistently achieve employment rates above the national average, with the majority securing a job or further study within six months of graduating.
Industry partnerships: The University collaborates with a wide network of industry partners across technology, engineering, and research sectors, giving students exposure to real-world projects and increasing visibility to potential employers.
Accreditation and long-term value: As a Level 9 master’s degree on the Irish National Framework of Qualifications, this qualification holds long-term professional value in Europe and beyond, demonstrating advanced technical mastery to employers and research institutions.
Graduation outcomes: With expertise in computer vision, deep learning, and AI system design, graduates are ready for high-impact roles where innovation meets practical application — from engineering intelligent machines to developing data-driven solutions in complex environments.
Further Academic Progression:
After completing this master’s, you can continue your studies in several ways. Many students choose to pursue research degrees such as a PhD in computer science, artificial intelligence, machine learning, or related engineering fields, developing deeper expertise and contributing original research to advancing AI technologies. The University of Limerick provides a strong research environment and access to collaborative research centres, making it an excellent foundation if you are aiming for an academic or advanced R&D career. You could also explore specialised postgraduate diplomas or certificates in areas such as robotics, advanced data analytics, or human-computer interaction to broaden your interdisciplinary skill set.
Applicants should have a Level 8 bachelor’s degree (2:2 or above) in a relevant discipline with strong maths and computing skills; shortlisted candidates may be invited for an interview.Linear Algebra is a key requirement; completing the self-assessment worksheet helps prepare for the course. Admission is competitive, and meeting the criteria does not guarantee a place.Applicants who don’t meet the standard entry requirements may still apply if they can demonstrate the necessary knowledge, skills, and experience.Applicants must demonstrate English proficiency with a TOEFL score of 580 (paper-based) or 90 (internet-based), or an Academic IELTS score of at least 6.5 overall with no component below 6.0; General IELTS is not accepted.Applicants from India should hold a four-year Bachelor’s degree or a three-year honours Bachelor’s degree in a relevant discipline from a recognised university, typically with first-division results (55–70% overall), and may be required to attend an interview.Applicants from the USA should have a GPA of 3.00 or higher in a four-year degree in a relevant discipline from a recognised university and may be required to attend an interview.Applicants from China should have high grades in a four-year degree in a relevant discipline from a recognised competitive university, and may be required to attend an interview.Computer Vision EngineerMachine Learning EngineerAI ResearcherData ScientistRobotics EngineerAutonomous Systems DeveloperDeep Learning SpecialistSoftware Engineer (AI/ML focus)Computer Vision Systems ArchitectAI Product DeveloperMechatronics EngineerSmart Manufacturing Specialist
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